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Learning cypher : write powerful and efficient queries for Neo4j with Cypher its official query language /
Chapter 2: Filter, Aggregate, and Combine Results; Filtering; The book store - an example; Text search; Working with regular expressions; Escaping the text; Value comparisons; The IN predicate; Boolean operators; Working with collections; Paging results - LIMIT and SKIP; Sorting; A descending sort;...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, U.K. :
Packt Pub.,
2014.
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| Colección: | Community experience distilled.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Querying Neo4j Effectively with Pattern Matching; Setting up a new Neo4j database; Neo4j running modes; Neo4j Server; An embedded database; HR management tool
- an example; Creating nodes and relationships using the Java API; A querying database; Invoking Cypher from Java; Finding nodes by relationships; Filtering properties; Filtering relationships; Dealing with missing parts; Working with paths; Node IDs as starting points; Query parameters; Passing parameters with Java
- The UNION statementSummary; Chapter 3: Manipulating the Database; Using Neo4j Browser; Creating nodes and relationships; Labels and properties; Multiple labels; Properties; Creating multiple patterns; Creating relationships; Creating full paths; Creating relationships between existing nodes using read-and-write queries; Modifying existing data; Creating unique patterns; Complex patterns; Setting properties and labels; Cloning a node; Adding labels to nodes; Merging matched patterns; Idempotent queries; Deleting data; Removing labels; Removing properties; Deleting nodes and relations
- Clearing the whole databaseLoops; Working with collections; Summary; Chapter 4: Improving Performance; Performance issues; Best practices and recommendations; Using parameterized queries; Parameterized queries with the REST API; Reusing ExecutionEngine; Finding the optimum transaction size; Avoiding unnecessary clauses; Specifying the direction of relationships and variable length paths; Profiling queries; Profiling using the Java API; Inside the execution plan description; Profiling with Neo4j Shell; Profiling with the REST API; Indexes and constraints; SCAN hints; Index hints; Constraints